Methodology
ZEROvia connects self-disclosure, evidence, AI support, and human approval. The methodology explains how maturity levels, profile types, ESG assessment, VS/VSME mapping, evidence library, and AI governance interact.
From a source in the Evidence Library or from a confirmed self-disclosure.
AI-extracted values receive a visible confidence indication.
External use only after human-in-the-loop approval.
Release will be field-accurate for public profiles, private reports, or internal use.
Maturity levels, profile types, questionnaire, evidence classes, scoring logic, and VS/VSME mapping.
Source binding, confidence, versioning, roles, access, sharing, and audit trail.
Why ESG data will become infrastructure and why SMEs should manage their data in a controlled manner.
Do you understand how ZEROvia connects self-disclosure, evidence, and AI to verifiable ESG statements?.
